摘要
作者讨论了具有变时滞的随机反应扩散Hopfield神经网络的稳定性.利用Ito公式,时滞微分不等式和神经网络的特性,作者导出了关于非常值平衡解的矩指数稳定性的代数条件.最后作者给出了一个说明性实例.
The main aim of this paper is to discuss moment exponential stability for a stochastic reaction- diffusion Hopfield neural network with time-varying delays. Using the Ito formula, a delays differential inequality and the characteristics of the neural network, the algebraic conditions of the moment exponential stability is derived about non-constant equilibrium solution. An example is also given for illustration.
出处
《四川大学学报(自然科学版)》
CAS
CSCD
北大核心
2010年第3期451-456,共6页
Journal of Sichuan University(Natural Science Edition)
基金
国家自然科学基金(10971240,10371083)
淮海工学院引进人才科研基金资助项目(KK06004,KX07028)
关键词
变时滞
非常值平衡解
矩指数稳定性
反应扩散神经网络
time-varying delays, non-constant equilibrium solution, moment exponential stability, reaction-diffusion neural network